SeniorDataInfrastructureEngineer

## Description Voltus is seeking a SeniorData Infrastructure Engineer to join our growing team. This role will put you at the center of a strategic initiative to strengthen our core data infrastructure, the pipelines, models, and platforms that power everything from business analytics to advanced applications in the future. You will own and improve the systems that unify our disparate data sources, making them reliable, discoverable, and programmatically accessible. Your work will directly empower analysts, enable consistent reporting, and lay the foundation for scalable, AI-ready infrastructure as Voltus grows. ## What You’ll Do Own and maintain our data pipeline architectures (e.g., critical data ingestion services, ETL pipelines, database mirroring and warehousing), ensuring they are reliable, monitored, and meet SLAs. Manage and evolve our data modeling environments and provide a smooth, well-documented workflow for analysts and engineers. Operate and improve our orchestration systems (Dagster), ensuring jobs run reliably and are observable. Evaluate and rationalize data tooling from Databricks and notebooks (Marimo, Jupyter) to BI/analytics platforms (Redash and alternatives) and guide Voltus toward a sustainable, coherent data platform. Implement observability for data systems (logging, alerting, metrics) so issues are detected early and data quality is continuously monitored. Champion data governance and documentation, making datasets well-defined, trustworthy, and easy to navigate. Collaborate with analysts, data scientists, and platform engineers to ensure the infrastructure you build is intuitive, scalable, and solves real-world problems. Lay the groundwork for advanced applications by making Voltus’ data reliably accessible via well-documented interfaces, positioning us to adapt to future ML and AI use cases. ## Who You Are Proven experience in a data engineering or infrastructure role, with responsibility for production-grade pipelines and data systems.